Category Insights Analyst

Flowers Foods

3d•$62,000 - $80,000

About The Position

The Category Insights Analyst will play a key role in advancing Flower’s Foods category leadership by leveraging data, managing tools and transforming insights into fact-based selling stories. Reporting to the VP of Category Management, this position will partner closely with sales and marketing to deliver insight-led recommendations that strengthen our in-store presence, inform category leadership and support customer growth.

Requirements

Minimum of 3+ yeras of category management, retail insights, sales strategy or commercial analytics experience
Proficiency with syndicated data (Circana experience preferred)
Retailer-facing experience preferred
Experience with panel data and shopper card data (Circana/Numerator)
Ability to think "big picture" with tactical execution, influence cross-functionality across sales, marketing and innovation
Naturally curious, detail-oriented, and comfortable presenting in front of groups of people
Ability to interpret and synthesize data into clear, actionable stories that influence decision-making
Bachelor's degree required
Proficient knowledge in Excel and Powerpoint/presentation building skills
Able to create polished, story-driven decks that resonate with customers and internal audiences alike

Responsibilities

Collaborate with sales to develop data-driven category recommendations that strengthen retailer partnerships and drive join growth
Lead the development and execution of category strategies to drive growth for Flowers Foods brands and the customer, including assortment optimization, shelf space planning, and merchandising recommendations.
Play an integral role in developing tailored customer selling stories for Publix and Ahold-Delhaize, leveraging POS and shopper data to support line reviews and ad hoc requests.
Deliver integrated consumer, category, and market insights to inform your customers of strategic decisions and in-store execution.
Analyze syndicated data (e.g., Circana, Nielsen), panel data, and retailer-specific systems to identify growth opportunities, category performance drivers, and risks.
Create compelling, data-driven storytelling using tools such as Power BI, Excel, and planogram software to influence leadership.
Generate regular reporting and dashboards to monitor business performance, highlight risks, and surface incremental opportunities.
Build strong relationships with your retail partners, serving as a trusted advisor and category thought leader on shopper trends, competitive dynamics, and macro food trends.
Develop clear, concise, and impactful presentations that translate complex data into insights and drive collaborative decision-making with the customer